ОПИС ВАКАНСІЇ
About us: Collaborator is a content marketing marketplace that assists customers in distributing PR articles and press releases through websites and social media channels. Our mission is to help clients maximize their reach, build PR, and achieve SEO results.
Objective: We are seeking a part-time Data Scientist (4 hours per day) with strong expertise in core Data Science and advanced AI domains, particularly NLP.
CEO’s comment: I would like to emphasize that we are not merely following the AI trend. We have real, practical user tasks that we are confident can be solved more effectively with the leverage AI provides. This enables us to deliver an improved product to our users.
Employment Type:
- Part-time (4 hours/day)
- Remote work
- Flexible schedule
Required Skills & Experience:
- 3+ years of hands-on experience with core Data Science
- Advanced expertise in NLP and AI domains
- Proven experience delivering applied AI from concept to production
- Strong background in MLOps and Data Analytics platforms design
- Experience in data engineering and technical leadership
Technical Requirements: ML/AI:
- Deep understanding of core Data Science principles
- Advanced NLP implementation experience
- Machine learning model development and deployment
- MLOps and data pipeline architecture
- Predictive analytics and data modeling
Tools & Technologies:
- MySQL
- Google Big Query
- Python
- Git
- BI analytics tools
- Cloud computing platforms
Education: Higher education in IT, Mathematics, Physics, or related field
Language Requirements: Upper-Intermediate (B2) English level
Primary Responsibilities:
- Design and implement advanced Data Science solutions
- Develop and deploy NLP models
- Create and optimize data analytics platforms
- Build and maintain production ML systems
- Develop metrics and KPIs
- Implement customer scoring models
- Provide technical leadership in AI initiatives
Additional Advantages:
- Experience in fintech or large e-commerce projects
- Understanding of business processes
- Experience with distributed systems
We’re excited to have you on our team)
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